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HOME > People > Chao TangChao Tang

 

 

Chao TANG



E-mail: tangc_at_pku.edu.cn
Website: 
http://cqb.pku.edu.cn/tanglab



Chair Professor,
 School of Physics, PKU;
 

 

Director, Center for Quantitative Biology, PKU


 

 


Education:

B.S., University of Science and Technology of China, 1981; 

Ph.D. Physics, University of Chicago, 1986.

 

 

Research interests:

We are interested in quantitative studies of biological systems. We apply, develop and integrate theoretical, computational and experimental methods to address key biological questions. We believe that an interdisciplinary approach focusing on quantitative questions at a systems level will uncover new biological principles and help us to better understand complex disease and design new therapeutic strategies. Our current research areas include cell cycle regulation, cellular decision-making, the relationship between function and topology in biological networks, developmental landscape, information processing in biological systems and network-based complex disease mechanism.

 


Academic 
experiences:

1991-1998: Research Scientist, NEC Research Institute, Princeton, NJ;

1998-2005: Senior Research Scientist, NEC Research Institute, Princeton, NJ;

2005-2011: Professor, Department of Bioengineering and Therapeutic SciencesUniversity of California, San Francisco;

2005-2011: Professor, Department of Biochemistry and Biophysics, University of California, San Francisco;

2011-present: Chair Professor, School of Physics and Academy for Advanced Interdisciplinary Studies, Peking University.

 


Selected publications:

1. Li FT, Lu Y, Long T, Ouyang Q, Tang C. The yeast cell-cycle network is robustly designed. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 101 (14), 4781 (2004).

2. Ma WZ, Lai LH, Ouyang Q, Tang C. Robustness and modular design of the Drosophila segment polarity network. MOLECULAR SYSTEMS BIOLOGY, 2, 70 (2006).

3. Trusina A, Papa FR, Tang C. Rationalizing translation attenuation in the network architecture of the unfolded protein response. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 105, 20280, (2008).

4. Ma WZ, Trusina A, El-Samad H, Lim WA, Tang C. Defining network topology that can perform biochemical adaptation. CELL, 138, 760 (2009).

5. Li ZY, Ni M, Li JK, Zhang YP, Ouyang Q, Tang C. Decision making of the p53 network: Death by integration. JOURNAL OF THEORETICAL BIOLOGY, 271, 205 (2011). 

6. Shu J, et al. Induction of Pluripotency in Mouse Somatic Cells with Lineage Specifiers. Cell 153, 963 (2013).

7. Yang XJ, Jost APT, Weiner OD, Tang C. A light-inducible organelle-targeting system for dynamically activating and inactivating signaling in budding yeast. Molecular Biology of the Cell 24, 2419 (2013).

8. Yang XJ, Lau KY, Sevim V, Tang C. Design Principles of the Yeast G1/S Switch. PLoS Biol 11, e1001673 (2013).

 


Professional activities:

Fellow, American Physical Society;

Advisory Board, Chinese Higher Education Press;
Board of Directors, Boulder School for Condensed Matter and Materials Physics;
Advisory Board, NSF Center for Theoretical Biological Physics, Rice University;
Scientific Advisory Board, Niels Bohr Institute, Denmark;
Executive Dean, Academy for Advanced Interdisciplinary Studies, Peking University;

Founding Co-Editor in Chief, Quantitative Biology

 

 

Group Member:

 

Xiaojing Yang